Getting to the source of data-visualization aberrations is a big problem in big data. EECS doctoral student Eugene Wu with Sam Madden, professor of computer science and engineering in the Computer Science and Artificial Intelligence Lab (CSAIL) have released a new tool, called DBWipes, that pinpoints aberrations and determines which data sources to investigate. Read more.

A team led by Computer Science and Artificial Intelligence Lab (CSAIL) researchers including EECS associate professor Wojciech Matusik and project lead and doctoral candidate Adriana Schulz has developed “Fab By Example,” the first data-driven method to help people design products, with a growing database of templates that allow users to customize thousands of complex items — without the need to understand the mechanical engineering that might normally be expected. The team will be presenting its system at this month’s Siggraph graphics conference. Read more.

Researchers at MIT -- including EECS graduate student Abe Davis and EECS faculty members Fredo Durand and Bill Freeman, and members of the Computer Graphics Group in MIT's Computer Science and Artificial Intelligence Lab (CSAIL) have collaborated with colleagues at Microsoft and Adobe to develop an algorithm to reconstruct an audio signal produced by practically invisible vibrations of objects filmed in video and normally inaudible to human hearing. Read more.

Paying attention to the data that says MOOC learning is limited because of high drop rates and other negatives, CSAIL researchers have noted that students need help learning how to watch the videos and these researchers have developed a new way for students to learn how to watch MOOC videos called LectureScape. Read more.

EECS faculty members Hari Balakrishnan and Devavrat Shah with EECS graduate students Jonathan Perry, and Amy Ousterhout, and Hans Fugal of Facebook have devised a new system to reduce delay time in data center queues. Using Fastpass, the name given to the new system, the group has experimentally reduced the average queue length of routers by as much as 99.6 percent in a Facebook data center. Read more.

Light is everything to good photography. Knowing this fact well, EECS professor Fredo Durand, also an experienced photographer, has begun to create a new system that uses drones (light-equipped autonomous robots) to create accurate lighting while communicating with the camera-mounted interface. Durand and several other researchers will report on their work at an upcoming international symposium in August.

Three EECS faculty members were recently the recipients of major awards. Dimitri Bertsekas received the 2014 American Automatic Control Council Richard Bellman Heritage Award, Rodney Brooks received the 2014 Engelberger Robotics Award for Leadership and the 2015 IEEE Robotics and Automation Award, and Sanjoy Mitter received the 2015 IEEE Eric E. Sumner Award. Read more.

The potential for multicore computing on a chip has gained new traction with the work by MIT Electrical Engineering and Computer Science (EECS) Department faculty member Li-Shiuan Peh and EECS graduate student Bhavya Daya as they present a new 36-core chip on which each core acts as a mini Internet using a router to complete a communication network for data transport, while keeping local data up to date. Read more.

Bernard Haeupler, PhD '13, has been selected by the Association of Computing Machinery (ACM) as recipient of the 2014 Doctoral Dissertation Award in Distributed Computing. Dr. Haeupler completed his thesis “Probabilistic Methods for Distributed Information Dissemination” in June 2013 under the co-supervision of Professors Jonathan Kelner, Muriel Médard, and David Karger at MIT.

At the IEEE Conference on Computer Vision and Pattern Recognition this month, EECS faculty member and associate department head William Freeman and colleagues from the Computer Science and Artificial Intelligence Lab (CSAIL) will present a new algorithm that can, with roughly 80 percent accuracy, determine whether a given snippet of video is playing backward or forward. Read more.

EECS faculty members Dina Katabi, director of the Wireless Center at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and CSAIL colleague Robert Miller with EECS graduate students Fadel Adib and Zach Kabalec have collaborated to develop wireless technology to track a person's vital signals such as breathing (heart rate) and more from another room with no need for intrusive wearable technologies. Read more.

MIT's Computer Science and Artificial Intelligence Lab (CSAIL) held a two day conference celebrating 50 years of computer science looking forward to the future with solutions for today's obstacles and tomorrow's solutions. Read more.

Unlike addressing the problem of object detection, a major area of research in computer vision, Prof. Bill Freeman, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and associate department head in MIT's Electrical Engineering and Computer Science (EECS) Department, has worked with EECS graduate student Andrew Owens and colleagues from the University of Virginia, the Woods Hole Oceanographic Institute and Flyby Media to .... Read more.

Postdoctoral associate in the Computer Science and Artificial Intelligence Lab (CSAIL) Hamed Pirsiavash has developed a new algorithm that offers significant improvements in parsing video — linearly, no matter the length, with fixed requirement for memory and reaching conclusions in search more efficiently. Read more.

Robert D. Blumofe and Charles E. Leiserson were announced today as the winners of the 2013 Association for Computing Machinery’s (ACM) Paris Kanellakis Theory and Practice Award for contributions to robust parallel and distributed computing. The ACM credits Blumofe and Leiserson for developing provably efficient randomized “work-stealing” scheduling algorithms and Cilk, a small but powerful programming-language extension for multithreaded computing. The Kanellakis Award honors specific theoretical accomplishments that significantly affect the practice of computing. Read more.

As the director of MIT’s BigData@CSAIL industry initiative, and the co-director of the more research-focused Intel Science and Technology Center (ISTC) for Big Data, EECS professor and CSAIL principal investigator Sam Madden talks with the MIT News Office about the growing complexity of data. From social networks and images to real time financial transactions, Madden talks about the issues (and opportunities) of what to do with this data. Read more.

Imagine being curious enough as an 11 year old — on seeing your babysitter's mysterious calculus textbook symbols — to jump grades in order to leap several years ahead in math? Scott Aaronson, associate professor of electrical engineering and computer science and affiliate with the Computer Science and Artificial Intelligence Lab (CSAIL), has always had a way of thinking beyond -- now looking for the truths in computational complexity, and consequently influencing the way computation is perceived and executed in the future. Read more.

Prof. Daniela Rus, Director of MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and head of the Distributed Robotics Lab (DRL) envisions new ways for design and manufacture of robots — including the potential for one robot per child in schools. She and members from the DRL group received multiple prizes at the Ultra-Affordable Robot competition particularly for the group's printable, origami-inspired Segway robot, called SEG, which won first place.

Today, March 12, 2014, marks the 25th anniversary of Tim Berners-Lee's proposal for managing general information about accelerators and experiments at CERN, the European Organization for Nuclear Research based in Geneva where Berners-Lee worked at the time as a software engineer. He proposed building a distributed (global) hypertext system which he initially called "Mesh" updating it a year later to the "World Wide Web" as he wrote the code. Read more.

Computer Science and Artificial Intelligence Lab's Leslie Kaelbling, the Panasonic Professor of Electrical Engineering and Computer Science in collaboration with members of her research group the Learning and Intelligent Systems Group have developed a new way to use "multiagent systems" to allow for teams of robots to accomplish tasks requiring flexibility and communication in uncertain environments. Read more.

Marvin Minsky, a faculty member in the MIT Electrical Engineering and Computer Science since 1958 and co-founder (in 1959) of the Artificial Intelligence Lab (now the Computer Science and Artificial Intelligence Laboratory), has been recognized the the BBVA Foundation for his lifetime achievements in establishing the field of artificial intelligence as well as his contributions to mathematics, cognitive science, robotics and philosophy.

Electrical Engineering and Computer Science Department graduate student Mohsen Ghaffari, also a member of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has developed a new way to use “vertex connectivity” that could ultimately lead to communication protocols that will allow as much network bandwidth as possible. Ghaffari and members of an international team will present this work in January at the ACM-SIAM Symposium on Discrete Algorithms in Portland, Oregon.

Computer Science and Artificial Intelligence Laboratory's (CSAIL) Aude Oliva, associate professor of cognitive science at MIT's Brain and Cognitive Sciences working with her CSAIL colleagues including Antonio Torralba, associate professor in MIT's Electrical Engineering and Computer Science Department and also a member of in the MIT Computer Vision Group has developed an algorithm to slightly modify a person's face — making it more memorable without altering that person's overall appearance.